If your small or medium sized (SME) business is looking for ways to improve forecasting, problem solving and market opportunities, it must have an agile, swift analytical process that will allow business users to leverage their role, their knowledge of … Continued
Self-Serve Data Preparation Takes the Headache Out of Data Analytics! Self-Serve Data Preparation (aka augmented data preparation) is all about efficiency and the presentation of sophisticated data preparation tools in an easy-to-use environment. The idea behind self-service data preparation is … Continued
Self-Serve Data Preparation and Augmented Data Prep Go Hand in Hand! I was talking to a friend the other day and she shared with me her experience at a recent business intelligence conference. She was a bit confused by some … Continued
Self-Serve Data Preparation is Easy as Pie! Data preparation tools come in many shapes and sizes and not all are equal. If your business is interested in implementing a self-serve environment where its business users can become a greater asset … Continued
Extract, Transform and Load (ETL) refers to a process of connecting to data sources, integrating data from various data sources, improving data quality, aggregating it and then storing it in staging data source or data marts or data warehouses for … Continued
Self-Serve Data Preparation is the next generation of business analytics and business intelligence. Self-serve data preparation makes advanced data discovery accessible to team members and business users no matter their skills or technical knowledge. What is Self-Serve Data Preparation? In … Continued
Self-Serve Data Preparation Makes Business Users More Productive and Efficient! There is too much to do in a day to wait for someone else to give you the data you need. But, when it comes to data preparation and data … Continued
Why is Self-Serve Data Preparation So Important? What is self-serve data preparation? It isn’t a method of making up data. It is a method of preparing data that allows the average business user to compile and analyze data without the assistance … Continued
By providing sophisticated analytical features and algorithms in an easy-to-use self-serve environment, the enterprise enables business users to perform data preparation and test theories and hypotheses and prototype on their own. Rather than preparing data at the central meta-data layer, … Continued
Agility and Quality: A Vital Balancing Act! This might be a strange comparison but let me make it anyway! Think of data agility and data quality like a tight rope act. The tightrope walker is thinking about getting to the … Continued